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Request a quote

request_quote
Idempotent

Ask for a price on something custom. Creates a quote_request item.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoThe person's key (sdkey1_…), if that is all you have: it is exchanged once for a pass, which comes back in identity.passes — keep the pass and send it next time instead. Never stored.
passNoThe person's passes (sdpass1_…), space-separated, at most 8: presented to the network that issued each, so the business recognises the customer. Or send them in the Sdi-Pass header. Never stored.
contactNo
messageNo
payloadYes
idempotency_keyNoSame key + same request = same answer. Required for agents.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover read-only and destructive hints, and the description adds a concrete side effect: it 'creates a quote_request item'. However, it does not explain whether the request is binding, what happens after creation, or how the idempotency guarantee works.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with no filler, and the core action is front-loaded. It is efficient, though arguably under-specified for the complexity of the input schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutating tool with a six-parameter nested schema and no output schema, this description is too thin. It omits when to call it, how identity and idempotency fit in, and what response to expect; the helpful parameter descriptions inside the schema only partially compensate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%, and the description adds no parameter-level meaning. The payload, contact, and message parameters have no documentation in either the schema or the description, so an agent must infer semantics from nested field names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('ask for a price') and the resource ('something custom', creating a 'quote_request item'), so an agent can distinguish it from create_order or create_booking. It stops short of naming those siblings explicitly, but the core purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus create_order, check_availability, or list_products/services. The phrase 'something custom' implies a scope, but no prerequisites, exclusions, or alternative routing are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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